Article

MicroCloud Hologram Inc. has launched a learnable quantum spectral filter technology for hybrid graph neural networks, enhancing graph signal processing through a quantum-classical architecture. This innovation allows for exponential compression of graph data by mapping the graph Laplacian operator to a trainable quantum circuit, significantly reducing qubit requirements as node count increases. The development highlights the importance of establishing quantum algorithm infrastructure in anticipation of advancements in quantum hardware.